DatriseAI-first ETL

Aftership to PostgreSQL Integration

AI-first ETL from Aftership into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Aftership into PostgreSQL

Datrise syncs Aftership's shipments, trackings, checkpoints, couriers, delivery statuses, and notifications into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Aftership: Shipment tracking and delivery notifications.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Aftership entities map to PostgreSQL

Aftership entityPostgreSQL objectNotes
shipmentsaftership_shipmentsid PK · custom fields → jsonb columns
trackingsaftership_trackingsid PK · linked to aftership_shipments
checkpointsaftership_checkpointsid PK · linked to aftership_shipments
couriersaftership_couriersid PK · linked to aftership_shipments

FAQ

How does Datrise handle Aftership's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Aftership to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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